sagemaker/aws.sdk.kotlin.services.sagemaker.model/ResourceConfig

ResourceConfig

Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model training.

Types

Builder

class Builder

Companion

object Companion

Properties

instanceCount

val instanceCount: Int?

The number of ML compute instances to use. For distributed training, provide a value greater than 1.

instanceGroups

val instanceGroups: List<InstanceGroup>?

The configuration of a heterogeneous cluster in JSON format.

instancePlacementConfig

val instancePlacementConfig: InstancePlacementConfig?

Configuration for how training job instances are placed and allocated within UltraServers. Only applicable for UltraServer capacity.

instanceType

val instanceType: TrainingInstanceType?

The ML compute instance type.

keepAlivePeriodInSeconds

val keepAlivePeriodInSeconds: Int?

The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.

trainingPlanArn

val trainingPlanArn: String?

The Amazon Resource Name (ARN); of the training plan to use for this resource configuration.

volumeKmsKeyId

val volumeKmsKeyId: String?

The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.

volumeSizeInGb

val volumeSizeInGb: Int?

The size of the ML storage volume that you want to provision.

Functions

copy

inline fun copy(block: ResourceConfig.Builder.() -> Unit = {}): ResourceConfig

equals

open operator override fun equals(other: Any?): Boolean

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String